AI-facilitated individualized nutritional guidance with ABC-structured prompts improves short-term dietary intake adequacy and patient-reported symptoms after gastrointestinal cancer surgery: a randomized controlled trial

BACKGROUND: Postoperative nutritional management is critical for gastrointestinal cancer surgery patients, yet discharge advice is often standardized and lacks individualization. Whether an AI-facilitated individualized and quantified strategy improves short-term dietary intake compared with standard generic advice remains unclear; this trial does not isolate the independent effect of AI. OBJECTIVE: To determine whether AI-facilitated individualized nutritional guidance using structured prompts improves short-term dietary intake adequacy and patient-reported symptoms versus standard discharge advice. METHODS: In this single-center, randomized controlled trial, 90 patients undergoing laparoscopic gastric or colorectal cancer surgery were assigned 1:1 to AI-facilitated individualized guidance generated by DeepSeek v3.2 using an ABC-structured prompt plus clinician review or standard discharge dietary advice (standard care group). The intervention combined AI, individualization, quantified targets, written guidance, and clinician review; the trial cannot isolate AI alone. Primary outcome was energy intake adequacy (≥ 90% of target) at 30 days post-discharge. Secondary outcomes included protein intake adequacy, nutritional status, patient-reported outcomes, process measures (expert-rated quality scores, provider time), and 30-day complications. Outcome assessors were blinded to group assignment. RESULTS: Baseline characteristics were well-balanced between groups. The AI-guided group achieved significantly higher energy adequacy (66.7% vs. 40.0%, OR 3.0, 95% CI 1.3-7.1, P = 0.01) and protein adequacy (62.2% vs. 35.6%, OR 2.9, 95% CI 1.2-6.8, P = 0.01) at 30 days. Expert-rated quality scores were superior in the AI-guided group for completeness (4.6 vs. 3.2), individualization (4.8 vs. 2.8), and actionability (4.5 vs. 3.5) (all P < 0.001), while provider time per patient was reduced (8.2 vs. 12.5 min, P < 0.001). Patient-reported outcomes showed significant improvements in fatigue, nausea/vomiting, appetite loss, and gastrointestinal symptoms (GSRS total score 2.1 vs. 2.5, P = 0.03) in the AI-guided group. No significant differences were observed in weight change, serum nutritional markers, or complication rates. CONCLUSION: AI-facilitated individualized nutritional guidance improved short-term dietary intake adequacy and patient-reported symptoms and reduced provider time compared with standard generic advice. These findings do not show that AI itself is superior to similarly individualized non-AI counseling and do not establish longer-term nutritional or clinical benefit. Clinical supervision remains essential.

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Publication Details

Journal
Supportive Care in Cancer
Published
2026-10-29
DOI
https://doi.org/10.1007/s00520-026-11401-7
Primary Topic
Clinical Nutrition and Gastroenterology
Type
article
Field-Weighted Citation Impact
0.00

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article

AI-facilitated individualized nutritional guidance with ABC-structured prompts improves short-term dietary intake adequacy and patient-reported symptoms after gastrointestinal cancer surgery: a randomized controlled trial

Sheng Zhang, Meng Li, Hao Chen, Wei Jiang
3 links
Supportive Care in Cancer
Clinical Nutrition and Gastroenterology
article

AI-facilitated individualized nutritional guidance with ABC-structured prompts improves short-term dietary intake adequacy and patient-reported symptoms after gastrointestinal cancer surgery: a randomized controlled trial

Sheng Zhang, Meng Li, Hao Chen, Wei Jiang
article en

Abstract

BACKGROUND: Postoperative nutritional management is critical for gastrointestinal cancer surgery patients, yet discharge advice is often standardized and lacks individualization. Whether an AI-facilitated individualized and quantified strategy improves short-term dietary intake compared with standard generic advice remains unclear; this trial does not isolate the independent effect of AI. OBJECTIVE: To determine whether AI-facilitated individualized nutritional guidance using structured prompts improves short-term dietary intake adequacy and patient-reported symptoms versus standard discharge advice. METHODS: In this single-center, randomized controlled trial, 90 patients undergoing laparoscopic gastric or colorectal cancer surgery were assigned 1:1 to AI-facilitated individualized guidance generated by DeepSeek v3.2 using an ABC-structured prompt plus clinician review or standard discharge dietary advice (standard care group). The intervention combined AI, individualization, quantified targets, written guidance, and clinician review; the trial cannot isolate AI alone. Primary outcome was energy intake adequacy (≥ 90% of target) at 30 days post-discharge. Secondary outcomes included protein intake adequacy, nutritional status, patient-reported outcomes, process measures (expert-rated quality scores, provider time), and 30-day complications. Outcome assessors were blinded to group assignment. RESULTS: Baseline characteristics were well-balanced between groups. The AI-guided group achieved significantly higher energy adequacy (66.7% vs. 40.0%, OR 3.0, 95% CI 1.3-7.1, P = 0.01) and protein adequacy (62.2% vs. 35.6%, OR 2.9, 95% CI 1.2-6.8, P = 0.01) at 30 days. Expert-rated quality scores were superior in the AI-guided group for completeness (4.6 vs. 3.2), individualization (4.8 vs. 2.8), and actionability (4.5 vs. 3.5) (all P < 0.001), while provider time per patient was reduced (8.2 vs. 12.5 min, P < 0.001). Patient-reported outcomes showed significant improvements in fatigue, nausea/vomiting, appetite loss, and gastrointestinal symptoms (GSRS total score 2.1 vs. 2.5, P = 0.03) in the AI-guided group. No significant differences were observed in weight change, serum nutritional markers, or complication rates. CONCLUSION: AI-facilitated individualized nutritional guidance improved short-term dietary intake adequacy and patient-reported symptoms and reduced provider time compared with standard generic advice. These findings do not show that AI itself is superior to similarly individualized non-AI counseling and do not establish longer-term nutritional or clinical benefit. Clinical supervision remains essential.

Supportive Care in CancerVol. 34(11)
First Affiliated Hospital of Zhengzhou University (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Wu Jieping Medical Foundation
Good health and well-being, Zero hunger
Openalex Percentile: Top 13%
Clinical Nutrition and Gastroenterology
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